Scamming the scammers:towards automatic detection of persuasion in advance fee frauds

Edwards, Matthew John and Peersman, Claudia and Rashid, Awais (2017) Scamming the scammers:towards automatic detection of persuasion in advance fee frauds. In: Second International Workshop on Computational Methods for CyberSafety (CyberSafety 2017) co-located with International Conference on World Wide Web (WWW). ACM, New York, pp. 1291-1299. ISBN 9781450349147

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Abstract

Advance fee fraud is a significant component of online criminal activity. Fraudsters can often make off with significant sums, and victims will usually find themselves plagued by follow-up scams. Previous studies of how fraudsters persuade their victims have been limited to the initial solicitation emails sent to a broad population of email users. In this paper, we use the lens of scam-baiting – a vigilante activity whereby members of the public intentionally waste the time of fraudsters – to move beyond this first contact and examine the persuasive tactics employed by a fraudster once their victim has responded to a scam. We find linguistic patterns in scammer and baiter communications that suggest that the mode of persuasion used by scammers shifts over a conversation, and describe a corresponding stage model of scammer persuasion strategy. We design and evaluate a number of classifiers for identifying scam-baiting conversations amidst regular email, and for separating scammer from baiter messages based on their textual content, achieving high classification accuracy for both tasks. This forms a crucial basis for automated intervention, with a tool for identifying victims and a model for understanding how they are currently being exploited.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
84731
Deposited By:
Deposited On:
20 Feb 2017 13:14
Refereed?:
Yes
Published?:
Published
Last Modified:
08 Apr 2020 23:50